Databricks vs Jedox comparison

The compared Databricks and Jedox solutions aren't in the same category. Databricks is ranked #7 in CDW , with an average rating of 8.3, and holds a 8.4% mindshare in the category. Jedox is ranked #5 in BPM , with an average rating of 8.2, and holds a 5.4% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Jedox users who would recommend it.

Databricks

Read 88 Databricks reviews

2,196 Views
1,662 Comparison Views

96% willing to recommend

Jedox

Read 13 Jedox reviews

820 Views
585 Comparison Views

100% willing to recommend

Databricks

Jedox

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Jedox based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2025).

Buyer's Guide

Cloud Data Warehouse

March 2025

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Helped 844,944 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)

Jedox

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business Performance Management (5th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.4%, up 3.2% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 5.4% mindshare, up 4.1% since last year.

Cloud Data Warehouse

Business Performance Management

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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Riyaz Halani

Financial Controller at Zalando SE

Powerful BI tool for analyzing financial performance and stable performance

I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."

"The solution is very easy to use."

"Easy to use and requires minimal coding and customizations."

"The setup was straightforward."

"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."

"Databricks is a robust solution for big data processing, offering flexibility and powerful features."

"I work in the data science field and I found Databricks to be very useful."

"The solution is easy to use and has a quick start-up time due to being on the cloud."

More Databricks pros

"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."

"The EPM is the most valuable feature."

"We use the tool for performance management and planning."

"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."

"The data entry point is most valuable. The way we can customize our report or do data entry is very good."

"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."

"We can configure and have complete freedom while creating solutions."

"The ETL function simplifies many tasks."

More Jedox pros

Cons

"The integration features could be more interesting, more involved."

"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."

"The tool should improve its integration with other products."

"The product needs samples and templates to help invite users to see results and understand what the product can do."

"The pricing of Databricks could be cheaper."

"The integration and query capabilities can be improved."

"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."

"We'd like a more visual dashboard for analysis It needs better UI."

More Databricks cons

"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."

"The solution should enable a modern look and feel in the front end."

"Jedox should improve the design and server issues."

"There is not much training for Jedox."

"Visualization is something they need to improve. We have already told them about this, and they should be working on it."

"Online pixel-perfect reporting is an aspect that has room for improvement."

"From a development perspective, there's room for improvement in the area called the designer, where you actually build your reports to make it easier to manage the process."

"The tool has changed its pricing and it's now too expensive for small and medium organizations. I miss the open-source version which was free and we could do a lot of things with it."

More Jedox cons

Pricing and Cost Advice

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."

"Databricks' cost could be improved."

"The cost is around $600,000 for 50 users."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"The solution requires a subscription."

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

"I rate the price of Databricks as eight out of ten."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

More Databricks pricing and cost advice

"Jedox was a bit cheaper compared to Calumo."

"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."

"The solution's pricing is specific to your requirements."

"The product’s pricing will not be suitable for setting up a small solution."

"Excellent value for money."

"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Computer Software Company

18%

Retailer

13%

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What do you like most about Jedox?

The ease of reporting is one of Jedox's most valuable features.

See all answers

What is your experience regarding pricing and costs for Jedox?

The solution's pricing is specific to your requirements.

See all answers

What needs improvement with Jedox?

There is not much training for Jedox. There was no training available in the beginning at all. I had to reach out to them so they would give us something. I think they're getting better, though. Th...

See all answers

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Tableau vs Databricks

Compared 5% of the time

More Databricks Competitors

Microsoft Power BI vs Jedox

Compared 34% of the time

IBM Planning Analytics vs Jedox

Compared 17% of the time

Tableau vs Jedox

Compared 10% of the time

Anaplan vs Jedox

Compared 7% of the time

Oracle Planning and Budgeting Cloud vs Jedox

Compared 4% of the time

More Jedox Competitors

Product Reports

Buyer's Guide

Databricks

March 2025

Download Databricks product report

Buyer's Guide

Jedox

March 2025

Download Jedox product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Jedox EPM

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Integrated Corporate Performance Management software provides reliable data, insights, and guidance to everyone in your company. Jedox delivers it all: Self-service budgeting, planning, and forecasting combined with intuitive analytics and BI dashboards in one integrated software platform. Users across the enterprise in any department from Finance to Sales, HR, and Procurement create integrated plans and reports based on the same data model and business logic. Integrate financial planning and analysis with operational plans and reporting to optimize processes, boost data quality, and slash planning cycles throughout the organization.

Jedox

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: March 2025.

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